🗝️Scalability Solutions

To handle projected growth to 1M+ daily users, we've implemented:

Horizontal Scaling:

• AI inference sharding across 8 geographic regions

• Elastic Kubernetes clusters auto-scaling to 500+ pods

• State channel technology for prediction delivery

Layer 2 Optimization:

• Batch prediction updates via Polygon zkEVM

• Data availability sampling (Celestia integration)

• Plasma cash framework for historical data

Decentralized Infrastructure:

• 200+ node operators for model training

• Arweave-based model version archive

• Threshold signature schemes for distributed computation

Performance benchmarks show:

• 99.9% uptime at 10,000 RPS

• Linear scaling costs ($0.0001 per additional user)

• Sub-100ms latency across all regions